{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "0089554f-c9a1-474b-95eb-c3e6db2b6fc1",
   "metadata": {},
   "source": [
    "# Figure 1: Data-MC agreement\n",
    "In this notebook, we provide the code to reproduce Figure 1 of the paper \"Evidence for Neutrino Emission from X-ray Bright Active Galactic Nuclei with IceCube\"."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9fc09bc7",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "plt.rcParams.update({\n",
    "    'text.usetex': True, # Comment out if matplotlib complains\n",
    "    'font.family': 'serif',\n",
    "    'text.latex.preamble': r'\\usepackage{newtxtext,newtxmath}', # Comment out if matplotlib complains\n",
    "    'axes.labelsize': 'xx-large',\n",
    "    'axes.labelpad':10,\n",
    "    'xtick.labelsize':'x-large',\n",
    "    'ytick.labelsize':'x-large',\n",
    "    'legend.fontsize': 'x-large',\n",
    "    'figure.dpi':200,\n",
    "})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "a487518c",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Load files\n",
    "IC86_energies = pd.read_csv('./IC86_data_MC_energy_table.csv')\n",
    "IC86_sindec = pd.read_csv('./IC86_data_MC_sindec_table.csv')\n",
    "IC86_angerr = pd.read_csv('./IC86_data_MC_angerr_table.csv')\n",
    "\n",
    "IC79_energies = pd.read_csv('./IC79_data_MC_energy_table.csv')\n",
    "IC79_sindec = pd.read_csv('./IC79_data_MC_sindec_table.csv')\n",
    "IC79_angerr = pd.read_csv('./IC79_data_MC_angerr_table.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "75d25461-52e4-4f7f-b14c-d4d867b9c8ac",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Some plotting settings\n",
    "scatter_size = 7\n",
    "scatter_size_subplot = 30\n",
    "c_IC86 = np.array([0.12156863, 0.47058824, 0.70588235, 1.])\n",
    "c_IC79 = np.array([0.98431373, 0.60392157, 0.6, 1.])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "695d1037-9766-465b-b588-3c5868c6dc73",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Function to make the subplot\n",
    "def make_datamc_subplot(ax, observable, data_86, data_79):\n",
    "    ax.step(data_86[f'{observable}_bin_center'], data_86['mc_counts'], where='mid', color=c_IC86, label='IC86 MC')\n",
    "    ax.step(data_79[f'{observable}_bin_center'], data_79['mc_counts'], where='mid', color=c_IC79, label='IC79 MC')\n",
    "    ax.scatter(data_86[f'{observable}_bin_center'], data_86['data_counts'], color=c_IC86, label='IC86 Data', zorder=2)\n",
    "    ax.errorbar(data_86[f'{observable}_bin_center'], data_86['data_counts'], data_86['data_error'], fmt='None', color=c_IC86)\n",
    "    ax.scatter(data_79[f'{observable}_bin_center'], data_79['data_counts'], color=c_IC79, label='IC79 Data', zorder=2)\n",
    "    ax.errorbar(data_79[f'{observable}_bin_center'], data_79['data_counts'], data_79['data_error'], fmt='None', color=c_IC79)\n",
    "    ax.grid(zorder=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "043bdc5a",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Function to plot the ratios\n",
    "def make_ratio_subplot(ax, observable, data, color, text, ticks=True, label=False):\n",
    "    ax.scatter(data[f'{observable}_bin_center'], data['data_counts']/data['mc_counts'], color=color, s=scatter_size_subplot, zorder=2)\n",
    "    ax.errorbar(data[f'{observable}_bin_center'], data['data_counts']/data['mc_counts'], yerr=data['data_error']/data['mc_counts'],\n",
    "                color=color, fmt='none', elinewidth=1, zorder=3)\n",
    "    ax.axhline(1, color='tab:grey', ls='--', lw=2, zorder=1)\n",
    "    ax.set_yticks([0.7,1,1.3])\n",
    "    ax.set_ylim(0.5,1.5)\n",
    "    ax.text(0.02,0.75, text, transform=ax.transAxes, fontsize=16)\n",
    "    if label:\n",
    "        ax.set_ylabel('Data/MC', y = -0.1)\n",
    "    if not ticks:\n",
    "        ax.tick_params(labelleft=False)  \n",
    "    ax.grid(zorder=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "68624374",
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 2400x1000 with 9 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot\n",
    "fig, ((ax0, ax1, ax2), (ax3,ax4,ax5), (ax6,ax7,ax8)) = plt.subplots(\n",
    "    3, 3, figsize=(12,5), sharex='col', \n",
    "    gridspec_kw=dict(height_ratios=[3, 1.1, 1.1], wspace=0.1, hspace=0))\n",
    "\n",
    "#COLUMN 1 -- ENERGY\n",
    "make_datamc_subplot(ax0, 'energy', IC86_energies, IC79_energies)\n",
    "ax0.set_ylim(1,5e5)\n",
    "ax0.set_xlim(2,7)\n",
    "ax0.set_yscale('log')\n",
    "ax0.set_yticks([10,1e3,1e5])\n",
    "ax0.set_ylabel('NEvents')\n",
    "\n",
    "make_ratio_subplot(ax3, 'energy', IC86_energies, color=c_IC86, text=\"IC86\", label=True)\n",
    "make_ratio_subplot(ax6,'energy', IC79_energies, color=c_IC79, text=\"IC79\", label=False)\n",
    "ax6.set_xlabel(r'log($E_\\mu$/GeV)')\n",
    "\n",
    "#COLUMN 2 -- sin(DEC)\n",
    "make_datamc_subplot(ax1, 'sindec', IC86_sindec, IC79_sindec)\n",
    "ax1.set_ylim(1,5e5)\n",
    "ax1.set_yscale('log')\n",
    "ax1.set_yticks([10,1e3,1e5])\n",
    "ax1.tick_params(labelleft=False) \n",
    "ax1.grid(zorder=0)\n",
    "\n",
    "make_ratio_subplot(ax4, 'sindec', IC86_sindec, color=c_IC86, text=\"IC86\", label=False, ticks=False)\n",
    "make_ratio_subplot(ax7, 'sindec', IC79_sindec, color=c_IC79, text=\"IC79\", label=False, ticks=False)\n",
    "ax7.set_xlabel(r'sin($\\delta_\\mu$)')\n",
    "ax7.set_xticks([0,0.3,0.6,0.9])\n",
    "\n",
    "#COLUMN 3 -- angErr\n",
    "make_datamc_subplot(ax2, 'angerr', IC86_angerr, IC79_angerr)\n",
    "ax2.set_ylim(1,5e5)\n",
    "ax2.set_xlim(0.08, 20)\n",
    "ax2.set_xscale('log')\n",
    "ax2.set_yscale('log')\n",
    "ax2.set_yticks([10,1e3,1e5])\n",
    "ax2.tick_params(labelleft=False) \n",
    "ax2.grid(zorder=0)\n",
    "\n",
    "make_ratio_subplot(ax5, 'angerr', IC86_angerr, color=c_IC86, text=\"IC86\", label=False, ticks=False)\n",
    "make_ratio_subplot(ax8, 'angerr', IC79_angerr, color=c_IC79, text=\"IC79\", label=False, ticks=False)\n",
    "ax8.set_xlabel(r'$\\sigma_\\mu$ [deg]')\n",
    "\n",
    "ax1.legend(frameon=False, loc='lower center', ncols=4, bbox_to_anchor=(0.5, 1.03))\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "16a0c937-023a-4008-aeb2-89d93225aa39",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Publications",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.13.11"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
